Cloud Computing has brought a huge impact in IT industry. Computing
resources are easier to get in Cloud Computing. Briefly speaking,
Cloud Computing is a resource pool, which contains a masssive
amount of interconnected computers. Under such background, in order
to make full use of the network, Google initiated MapReduce model.
This model is an implementation of Parallel Computing, which aims
at processing large amount of data. Given certain computing
resources and MapReduce model, this book gives some thinking about
how to estimate the time consumption of a huge computation task.
Based on classical Parallel Computing theories, this book proposed
two models to estimate the time consumption. It also gives
conclusions about what type of computation task is estimatable. The
experiments in this book are easy to implement, which are very
suitable references for Cloud Computing fans.
General
Imprint: |
Lap Lambert Academic Publishing
|
Country of origin: |
Germany |
Release date: |
July 2012 |
First published: |
July 2012 |
Authors: |
Li Jian
|
Dimensions: |
229 x 152 x 4mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
68 |
ISBN-13: |
978-3-659-15516-1 |
Categories: |
Books >
Computing & IT >
Internet >
General
|
LSN: |
3-659-15516-0 |
Barcode: |
9783659155161 |
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